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. 2018 Aug 2;9:419. doi: 10.3389/fendo.2018.00419

Table 2.

Characteristics of the subjects according to LH/FSH quartiles.

LH/FSH ratio Q1 Q2 Q3 Q4 P for trend
≤0.32 0.33–0.39 0.40–0.47 ≥0.48
N 641 645 624 615
Age (year) 65.31 ± 6.96 64.53 ± 6.76 63.87 ± 6.32 63.42 ± 6.16 < 0.001
METABOLIC FACTORS
Waist circumference (cm) 80.33 ± 9.89 80.85 ± 9.43 81.76 ± 9.48 83.30 ± 10.17 < 0.001
Waist-hip ratio 0.87 ± 0.08 0.87 ± 0.08 0.87 ± 0.17 0.88 ± 0.08 0.05
Body mass index (kg/m2) 24.43 ± 3.57 24.68 ± 3.59 25.07 ± 3.47 25.64 ± 3.84 < 0.001
Visceral adiposity index 1.61 (1.58) 1.83 (1.52) 1.93 (1.50) 1.97 (1.63) < 0.001
Chinese visceral adiposity index 105.87 ± 32.15 107.26 ± 31.78 109.98 ± 30.91 114.13 ± 32.54 < 0.001
Lipid accumulation product 30.38 (31.44) 33.82 (32.27) 34.12 (33.70) 37.41 (36.66) < 0.001
Systolic pressure (mmHg) 138.93 ± 20.81 138.32 ± 21.50 141.73 ± 22.20 142.41 ± 22.67 < 0.01
Diastolic pressure (mmHg) 78.89 ± 11.90 78.89 ± 12.50 80.97 ± 13.10 81.63 ± 12.73 < 0.001
Fasting glucose (mmol/L) 5.86 ± 1.31 5.92 ± 1.78 5.80 ± 1.41 5.89 ± 1.62 0.53
Fasting insulin (pmol/L) 32.50 (21.70) 33.90 (25.30) 36.60 (22.90) 37.00 (26.60) < 0.05
HOMA-IR 1.18 (0.88) 1.23 (0.98) 1.33 (0.96) 1.33 (1.11) 0.06
TG (mmol/L) 1.32 (0.91) 1.48 (0.96) 1.48 (0.94) 1.48 (0.95) < 0.01
TC (mmol/L) 5.49 ± 1.11 5.49 ± 1.04 5.46 ± 1.31 5.48 ± 1.14 0.86
LDL (mmol/L) 3.18 ± 0.78 3.25 ± 0.79 3.33 ± 0.82 3.42 ± 0.87 < 0.001
HDL (mmol/L) 1.54 ± 0.34 1.51 ± 0.33 1.44 ± 0.31 1.41 ± 0.31 < 0.001
SEX HORMONES
Total T (proportion above vs. below detection limit, %) 28.5 vs. 71.5 33.2 vs. 66.8 36.7 vs. 63.3 42.6 vs. 57.4 < 0.001
E2 (proportion above vs. below detection limit, %) 32.6 vs.67.4 32.6 vs. 67.4 28.5 vs. 71.5 33.3 vs. 66.7 0.249
LH (IU/L) 18.5 (10.3) 23.1 (10.6) 25.3 (12.9) 31.1 (14.4) < 0.001
FSH (IU/L) 66.4 (33.0) 63.4 (29.8) 59.4 (29.7) 53.8 (25.5) < 0.001
Current smoker (%) 4.7 3.1 3.1 3.2 0.33

Data are summarized as the mean ± standard deviation or median (interquartile range) for normally or non-normally distributed continuous variables and as the number with proportion for categorical variables. ANOVA and Kruskal-Wallis test were used for continuous variables, and the Pearson χ2 test was used for dichotomous variables.